Triple
T14413358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 5 Days of War |
E357385
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Michele Weisler
Michele Weisler is a film producer known for her work on the war drama "5 Days of War."
|
E1171046
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Michele Weisler | Statement: [5 Days of War, producer, Michele Weisler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michele Weisler Context triple: [5 Days of War, producer, Michele Weisler]
-
A.
Hal Bidlack
Hal Bidlack is an American political science professor, retired U.S. Air Force officer, and public speaker known for his work in skepticism and secular humanism.
-
B.
George Weidler
George Weidler was an American saxophonist and band musician best known for his brief early marriage to singer and actress Doris Day.
-
C.
Andrew Weisblum
Andrew Weisblum is an American film editor known for his work on major feature films, including collaborations with directors like Darren Aronofsky and Wes Anderson.
-
D.
Terry Weissman
Terry Weissman is a software engineer best known for creating the initial version of the Bugzilla bug-tracking system at Netscape.
-
E.
Mel Winkler
Mel Winkler was an American character actor best known for his distinctive voice work in video games and animation, as well as supporting roles in film and television.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Michele Weisler Triple: [5 Days of War, producer, Michele Weisler]
Generated description
Michele Weisler is a film producer known for her work on the war drama "5 Days of War."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michele Weisler Target entity description: Michele Weisler is a film producer known for her work on the war drama "5 Days of War."
-
A.
Hal Bidlack
Hal Bidlack is an American political science professor, retired U.S. Air Force officer, and public speaker known for his work in skepticism and secular humanism.
-
B.
George Weidler
George Weidler was an American saxophonist and band musician best known for his brief early marriage to singer and actress Doris Day.
-
C.
Andrew Weisblum
Andrew Weisblum is an American film editor known for his work on major feature films, including collaborations with directors like Darren Aronofsky and Wes Anderson.
-
D.
Terry Weissman
Terry Weissman is a software engineer best known for creating the initial version of the Bugzilla bug-tracking system at Netscape.
-
E.
Mel Winkler
Mel Winkler was an American character actor best known for his distinctive voice work in video games and animation, as well as supporting roles in film and television.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cb3c708190822f5506ebf7ee9d |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ebeb5ec8190afef40d87c74a8a0 |
completed | May 9, 2026, 5:28 p.m. |
| NEDg | Description generation | batch_69ff702588908190a1b1dd1fd6a972f9 |
completed | May 9, 2026, 5:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff70f97eec8190a1f5affdad31f2b2 |
completed | May 9, 2026, 5:38 p.m. |
Created at: April 10, 2026, 1:17 a.m.